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The Columbia Suicide Severity Rating Scale, or C-SSRS, is a suicidal ideation and behavior rating scale created by researchers at Columbia University, University of Pennsylvania, University of Pittsburgh and New York University to evaluate suicide risk. [1]
Power BI Report Builder is a variant of the SSRS application for building paginated reports, [5] with some features added and branded under the Power BI platform. The "Power BI Report Builder" application (not to be confused with "Report builder", the standalone SSRS tool) produces RDL reports (.rdl files, similar to SSRS), in contrast to the ...
Paginated reports for Power BI, which can be built with Power BI Report Builder, are a special type of SSRS reports with pagination formatting which can give better control of the layout of reports which need to be printed to paper or PDF. This is in contrast to regular Power BI reports which instead are optimized for presentation or ...
Business Intelligence Development Studio (BIDS) is the former IDE from Microsoft, and was used to develop data analysis and business intelligence solutions utilizing Microsoft SQL Server Analysis Services, Reporting Services and Integration Services.
The positive predictive value (PPV), or precision, is defined as = + = where a "true positive" is the event that the test makes a positive prediction, and the subject has a positive result under the gold standard, and a "false positive" is the event that the test makes a positive prediction, and the subject has a negative result under the gold standard.
SSRS may refer to: Savez Sindikata Republike Srpske, the Confederation of Trade Unions of the Republika Srpska; Ship Security Reporting System, a counter piracy system; SQL Server Reporting Services, a server-based report generation software system from Microsoft; Swedish Sea Rescue Society, a Swedish search and rescue organization
The positive prediction value answers the question "If the test result is positive, how well does that predict an actual presence of disease?". It is calculated as TP/(TP + FP); that is, it is the proportion of true positives out of all positive results. The negative prediction value is the same, but for negatives, naturally.
Positive computing is a technological design perspective that embraces psychological well-being and ethical practice, aiming at building a digital environment to support happier and healthier users. Positive computing develops approaches that integrate insights from psychology , education , neuroscience , and HCI with technological development .